-
1
说明: 灰色神经网络_百度文库
灰色神经网络 - 灰色神经网络预测模型的应用... 灰色神经网络 灰色神经网络预测模型的应用 下载本文档需要登录,并付出相应积分。
灰色神经组合(grey neural network)
- 2012-04-29 16:43:22下载
- 积分:1
-
periodogram_
plot periodogram for audio app
- 2015-02-09 18:07:31下载
- 积分:1
-
K-mean-clustring
K-mean for clustering based method
- 2014-02-16 14:48:20下载
- 积分:1
-
DDC
DDC 利用cIC和半带滤波器 抽取实现下变频
- 2013-12-24 18:44:32下载
- 积分:1
-
PWM-Rectifiers-under-Unbalaneed-Grid
对电网不平衡情况下的三相PWM整流器进行了详细的建模分析,并在此基础上研究了两种不平衡控制策略。其一是抑制网侧负序电流的控制策略,主要控制三相PWM整流器交流电流对称正弦化控制。其二是抑制直流电压谐波分量的控制策略,主要控制三相PWM整流器从电网吸收平衡的瞬时功率,消除直流电压中的各次谐波分量。(Research on the Control strategy of Three-Phase PWM Rectifiers under Unbalaneed Grid Voltage)
- 2016-11-09 03:12:07下载
- 积分:1
-
496876399457457454534
粒子滤波技术在非线性、非高斯系统表现出来的优越性,决定了它的应用范围非常广泛。另外,粒子滤波器的多模态处理能力,也是它应用广泛有原因之一。国际上,粒子滤波已被应用于各个领域。在经济学领域,它被应用在经济数据预测;在军事领域已经被应用于雷达跟踪空中飞行物,空对空、空对地的被动式跟踪;在交通管制领域它被应用在对车或人视频监控;它还用于机器人的全局定位。
(Particle filter technology in the non-linear, non-Gaussian system demonstrated the superiority of the decision of its wide range of applications. In addition, the particle filter for multimodal capabilities, also has one of the reasons it is widely used. Internationally, the particle filter has been applied to various fields. In economics, it is applied to forecast economic data in the military field have been applied to radar tracking aerial flying objects, air to air, air-passive tracking in the field of traffic control it was used in the car or the person video monitoring also used the global positioning robot.)
- 2010-05-19 20:11:32下载
- 积分:1
-
Algoritma-GA-(Knapsack)
MatLab code Genetic Algorithm for Knapsack Problem
- 2014-05-14 17:42:28下载
- 积分:1
-
K-means.tar
K-Means for clustering
- 2013-04-11 18:58:34下载
- 积分:1
-
MyKmeans
实现聚类K均值算法: K均值算法:给定类的个数K,将n个对象分到K个类中去,使得类内对象之间的相似性最大,而类之间的相似性最小。 缺点:产生类的大小相差不会很大,对于脏数据很敏感。 改进的算法:k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用,这样的一个medoid就标识了这个类。步骤: 1,任意选取K个对象作为medoids(O1,O2,…Oi…Ok)。 以下是循环的: 2,将余下的对象分到各个类中去(根据与medoid最相近的原则); 3,对于每个类(Oi)中,顺序选取一个Or,计算用Or代替Oi后的消耗—E(Or)。选择E最小的那个Or来代替Oi。这样K个medoids就改变了,下面就再转到2。 4,这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感,但计算量显然要比K均值要大,一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))
- 2005-07-26 01:32:58下载
- 积分:1
-
fan_motor
this is the fan speed motor control that input is torque and output is speed
- 2014-02-25 21:07:43下载
- 积分:1